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Jennifer Pazour
Professor of Industrial and Systems Engineering at Rensselaer Polytechnic Institute
Jennifer Pazour is a Professor of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI) in Troy, New York. She specializes in developing and applying mathematical models to address complex supply chain and logistics challenges. Her research spans diverse areas, including military logistics, healthcare logistics, distribution systems, on-demand supply chains, and peer-to-peer resource sharing platforms. She also serves as the PhD Program Director for RPI’s Decision Sciences and Engineering Systems program.124
Education
- B.S. in Industrial Engineering: South Dakota School of Mines and Technology (2006), with a minor in Mathematics.
- M.S. in Industrial Engineering: University of Arkansas (2008). Thesis: "A Model to Design a National High-Speed Network for Freight Distribution."
- Ph.D. in Industrial Engineering: University of Arkansas (2011). Dissertation: "An Analytical Examination of Pharmaceutical Distribution and the Role of Order-Fulfillment Technology".12
Professional Experience
- Professor: RPI (July 2023 – Present).
- Associate Professor: RPI (2019 – 2023).
- Assistant Professor: RPI (2015 – 2018) and University of Central Florida (2011 – 2015).12
She has also held roles such as undergraduate program coordinator at RPI and served on various professional committees, including INFORMS and IISE.24
Awards and Recognitions
Dr. Pazour has received numerous accolades for her research and teaching:
- National Science Foundation CAREER Award (2018).
- Johnson & Johnson Women in STEM2D Scholars Award (2018).
- Gulf Research Program Early-Career Fellowship (2016).
- Young Investigator Award from the Office of Naval Research (2013).
- Teaching awards from IISE Logistics and Supply Chain Division and Rensselaer Alumni Association.24
Research Contributions
Her work focuses on optimizing logistics systems to meet modern demands, such as omnichannel logistics, resource sharing platforms, and crowdsourced order fulfillment. Methodologically, she employs optimization models, bi-level formulations, queuing models, and computational experiments to derive managerial insights.24
Publications
Dr. Pazour has published extensively in peer-reviewed journals on topics like sustainable supply chains, warehouse operations, peer-to-peer logistics platforms, and pallet management strategies. Her work is widely cited in the fields of engineering, decision sciences, and supply chain management.5
Additional Roles
She is an Associate Editor for journals such as Transportation Science, IISE Transactions, OMEGA, and Military Operations Research. Additionally, she is active in promoting industrial engineering education through various outreach programs.24
For more details about her work or to contact her, visit her blog or LinkedIn profile.123
Highlights
I had a fun first week of teaching #supplychainmanagement to industrial engineering students at the Universidad Panamericana.
Guadalajara is a beautiful city, filled with kind, helpful people, great food, and impressive universities.
Much gratitude to my students, my helpful hosts Samuel Nucamendi Guillén, Elias Olivares-Benitez, Juan Orejel, and Anna Sophie Castillo Membrila, and to MHI: The Association That Makes Supply Chains Work, as this opportunity would not have been possible if I hadn't attended CICMHE's Material Handling Teaching Institute (MHTI), where I met my UP hosts.
I highly recommend attending a MHTI, which are biannual events where you can hone your teaching skills, gain access to new materials and network (plus there are scholarships to cover registrations, hotel and food costs). (https://lnkd.in/e7zedxaq).
RPI's Industrial and Systems Engineering (ISE) department is actively recruiting to fill a number of Fully Funded PhD Positions. To learn more, attend our webinar for potential students on December 18th at 9:00am EST. To register for the webinar please visit https://lnkd.in/dMm3nUYE. Ph.D. application fees will be waived for webinar attendees.
We seek students with a strong background in engineering, mathematics, computer science, or related fields. Ph.D. students will be provided with tuition and a stipend to support their research and education. All applications received by January 1st, 2024 will receive full consideration. Later applications will be considered until all positions are filled. Faculty have a diverse set of research interests and focus on topics in supply chain management, discrete and online optimization, and game theory. Specific Research Areas Include: Capacity Allocation in Service Systems Disaster Preparation and Response Heuristics for ML-Driven Optimization Last Mile Logistics Mixed Integer Programming Optimization for Statistics and ML Physics-Informed Methods for Online Optimization/Learning Supply Chain Resilience Voting and Mechanism Design
